Computer Vision in Archaeology
Training School
When? 14–18 September 2026
Where? Brno, Czech Republic
What? Training school on computer vision and machine learning in archaeology
Join us for an intensive one-week training school dedicated to computer vision in archaeology, where you will learn how to harness the power of modern machine learning techniques to detect, classify, and analyse archaeological features and artefacts in images. As visual data — from drone surveys and excavation photography to museum collections — continues to grow in volume, the ability to process and interpret it computationally is becoming an increasingly valuable skill in the archaeologist’s toolkit. Our programme guides you from the very foundations of Python programming through to hands-on experience with state-of-the-art object detection and image segmentation models, with dedicated sessions on dataset creation, model training, and evaluation. Participants should have basic experience with any programming or markup language and a general comfort with working in digital environments. No prior experience with machine learning is required, but curiosity and a willingness to engage with technical material are essential.
The training school is part of a trans-national access scheme provided by the ATRIUM Project, hosted by the Archaeological Information System of the Czech Republic (AIS CR) research infrastructure at the Institute of Archaeology, Czech Academy of Sciences, Brno. The school is co-organized by the MAIA COST Action project. MAIA provides funding to several of the school instructors.
To apply and learn more about the TNA, visit the ATRIUM TNA Application website.
